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Generative AI chatbots in higher education: a review of an emerging research area.

Authors :
McGrath, Cormac
Farazouli, Alexandra
Cerratto-Pargman, Teresa
Source :
Higher Education (00181560). Aug2024, p1-17.
Publication Year :
2024

Abstract

Abstract: Artificial intelligence (AI) chatbots trained on large language models are an example of generative AI which brings promises and threats to the higher education sector. In this study, we examine the emerging research area of AI chatbots in higher education (HE), focusing specifically on empirical studies conducted since the release of ChatGPT. Our review includes 23 research articles published between December 2022 and December 2023 exploring the use of AI chatbots in HE settings. We take a three-pronged approach to the empirical data. We first examine the state of the emerging field of AI chatbots in HE. Second, we identify the <italic>theories of learning</italic> used in the empirical studies on AI chatbots in HE. Third, we scrutinise the <italic>discourses</italic> of AI in HE framing the latest empirical work on AI chatbots. Our findings contribute to a better understanding of the eclectic state of the nascent research area of AI chatbots in HE, the lack of common conceptual groundings about human learning, and the presence of both dystopian and utopian discourses about the future role of AI chatbots in HE. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00181560
Database :
Academic Search Index
Journal :
Higher Education (00181560)
Publication Type :
Academic Journal
Accession number :
179164277
Full Text :
https://doi.org/10.1007/s10734-024-01288-w